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A Primer on Architectural Patterns

Towards Data Science

The top 7 architectural patterns that every IT Professional needs to know (including Layered Architecture, Client Server, Microservices, Serverless) along with their strengths and weaknesses.

Software Architecture: The Most Important Architectural Patterns You Need to Know

Level Up Coding

An architectural pattern is a general, reusable solution to a commonly occurring problem in software architecture within a given context. Many programmers are nowadays still confused about the…

5 Common Software Architectural Patterns

Level Up Coding

Software architecture is like the blueprint for building software, showing how different parts fit together and interact. It helps the development team understand how to build the software according t...

Design Patterns in Machine Learning for MLOps

Towards Data Science

Design Patterns are a set of best practices and reusable solutions to common problems. Data Science and other disciplines such as Software Development, Architecture, etc. are constituted by a large…

EP107: Top 9 Architectural Patterns for Data and Communication Flow

ByteByteGo Newsletter

This week’s system de sign refresher: Top 9 Architectural Patterns for Data and Communication Flow How Netflix Really Uses Java? Top 6 Cloud Messaging Patterns What Are the Most Important AWS Services...

Software Architecture Patterns

Towards Data Science

This is the most common architecture pattern in most of the enterprise level applications. This is also known as the n-tier pattern, assuming n number of tiers. This is the de-facto pattern for JAVA…

The Data Mesh architecture

Towards Data Science

The architecture of data is not just a technical architecture but is also an organizational structure, therefore, making it a key factor for building any data empire. Over time there have been…

5 Software Architectural Patterns

Level Up Coding

What are they & why you should care Continue reading on Level Up Coding

Everyday Design Patterns

Level Up Coding

Exploring the common patterns in the context of Ruby on Rails. Software design patterns provide proven solutions to common design problems, offering a structured approach to building robust and maint...

More Design Patterns For Machine Learning Systems

Eugene Yan

9 patterns including HITL, hard mining, reframing, cascade, data flywheel, business rules layer, and more.

Design Patterns for Distributed Transactions

Towards Data Science

Understanding Event Sourcing, Command Query Responsibility Segregation (CQRS), Change Data Capture (CDC), and the Outbox Pattern Domain-driven distributed application architecture, which eventually e...

Design patterns in machine learning

Towards Data Science

According to its definition, a design pattern is a reusable solution to a commonly occurring problem. In software engineering, the concept dates back to 1987 when Beck and Cunningham started to apply…...